Triple

T7580958
Position Surface form Disambiguated ID Type / Status
Subject MTR Disneyland Resort Station E179483 entity
Predicate hasStationCode P1289 FINISHED
Object DIS
DIS is the station code assigned to MTR Disneyland Resort Station, the dedicated railway stop serving Hong Kong Disneyland.
 E675141 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DIS | Statement: [MTR Disneyland Resort Station, hasStationCode, DIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DIS
Context triple: [MTR Disneyland Resort Station, hasStationCode, DIS]
  • A. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • B. Dis
    Dis is the fortified infernal city in Dante Alighieri’s "Inferno," marking the deeper, more grievous circles of Hell.
  • C. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • D. DS
    DS is a Microsoft multimedia framework and API used for capturing, processing, and playing audio and video streams on Windows.
  • E. DS
    DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DIS
Triple: [MTR Disneyland Resort Station, hasStationCode, DIS]
Generated description
DIS is the station code assigned to MTR Disneyland Resort Station, the dedicated railway stop serving Hong Kong Disneyland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DIS
Target entity description: DIS is the station code assigned to MTR Disneyland Resort Station, the dedicated railway stop serving Hong Kong Disneyland.
  • A. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • B. Dis
    Dis is the fortified infernal city in Dante Alighieri’s "Inferno," marking the deeper, more grievous circles of Hell.
  • C. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • D. DS
    DS is a Microsoft multimedia framework and API used for capturing, processing, and playing audio and video streams on Windows.
  • E. DS
    DS is the Directorate of Support, a key administrative and logistical branch responsible for providing essential support services within an intelligence or governmental organization.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97717048190b0ca1a74ed8a817e completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861735c7c81908e2c9fcbb1005ec3 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c862677e008190928ac5b4a47906fc completed March 28, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69c8630fe8608190afc7b67d9a80240b completed March 28, 2026, 11:24 p.m.
Created at: March 27, 2026, 3:52 p.m.